Website Uptime Monitor
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mkmachado.com
Uptime & Server Information
Current Status
Status
Active
Server Type
GitHub.com
Page Title
Machado
Meta Description
CS PhD student at Duke University in the Interpretable Machine Learning lab, advised by Dr. Cynthia Rudin. Researching interpretable computer vision models for high-stakes applications, including Full-Field Digital Mammography breast cancer prediction and prototypical part networks.
Meta Keywords
interpretable machine learning, computer vision, prototypical part networks, breast cancer prediction, mammography, deep learning, Duke University
Most Recent Data
0 hours, 0 minutes ago
Historical Data
| Date | Status | Server |
|---|---|---|
| 6/29/2026, 7:02:54 AM | Active | GitHub.com |
| 4/7/2026, 6:02:09 PM | Active | GitHub.com |
| 4/4/2026, 3:04:42 PM | Inactive | Unknown |
| 3/16/2026, 1:20:14 AM | Inactive | Unknown |
| 2/24/2026, 7:30:18 AM | Active | GitHub.com |
| 2/21/2026, 4:31:11 AM | Active | GitHub.com |
| 2/15/2026, 2:29:43 AM | Inactive | Unknown |
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Metrics we monitor
- Uptime Percentage: The percentage of time your website is accessible
- Response Time: How quickly your server responds to requests
- Status Codes: HTTP response codes indicating server status
About Website Uptime Monitoring
Use the Who.is uptime information to track the availability and server information of websites. This helps track:
- Website availability and response status
- Server software and configuration
- Meta information including titles and descriptions
- Historical uptime patterns
This information is valuable for website owners, system administrators, and anyone interested in monitoring website reliability and performance.
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